An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks
Since wireless sensor networks (WSNs) consist of nodes with limited battery power, collaborative data processing and balanced energy consumption should be considered as the key issue. This paper proposes an efficient cluster head selection approach for collaborative data processing in WSNs. The prop...
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Format: | Article |
Language: | English |
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Wiley
2015-06-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/794518 |
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author | Yan Qiang Bo Pei Wei Wei Yue Li |
author_facet | Yan Qiang Bo Pei Wei Wei Yue Li |
author_sort | Yan Qiang |
collection | DOAJ |
description | Since wireless sensor networks (WSNs) consist of nodes with limited battery power, collaborative data processing and balanced energy consumption should be considered as the key issue. This paper proposes an efficient cluster head selection approach for collaborative data processing in WSNs. The proposed algorithm designs an effective energy-efficient model to select the optimal cluster heads among all nodes fairly, which helps to reduce the impact of the monitoring scheme on the lifetime of network. Experimental results show that the proposed protocol is able to reduce energy consumption and obtain higher efficiency as well as effectively prolonging the lifetime of network more than a few existing cluster-based routing protocols. |
format | Article |
id | doaj-art-ee358d7a4cf24f67a6371959b2dd555f |
institution | Kabale University |
issn | 1550-1477 |
language | English |
publishDate | 2015-06-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj-art-ee358d7a4cf24f67a6371959b2dd555f2025-02-03T05:44:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-06-011110.1155/2015/794518794518An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor NetworksYan Qiang0Bo Pei1Wei Wei2Yue Li3 College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaSince wireless sensor networks (WSNs) consist of nodes with limited battery power, collaborative data processing and balanced energy consumption should be considered as the key issue. This paper proposes an efficient cluster head selection approach for collaborative data processing in WSNs. The proposed algorithm designs an effective energy-efficient model to select the optimal cluster heads among all nodes fairly, which helps to reduce the impact of the monitoring scheme on the lifetime of network. Experimental results show that the proposed protocol is able to reduce energy consumption and obtain higher efficiency as well as effectively prolonging the lifetime of network more than a few existing cluster-based routing protocols.https://doi.org/10.1155/2015/794518 |
spellingShingle | Yan Qiang Bo Pei Wei Wei Yue Li An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
title | An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks |
title_full | An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks |
title_fullStr | An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks |
title_full_unstemmed | An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks |
title_short | An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks |
title_sort | efficient cluster head selection approach for collaborative data processing in wireless sensor networks |
url | https://doi.org/10.1155/2015/794518 |
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